Project Overview

RxCloud is an innovative data visualization dashboard I developed to provide interactive and real-time visualization of cardio-pulmonary health metrics. It’s tailored to interpret data from electronRx’s suite of remote health monitoring applications.

This platform uniquely displays critical metrics such as the FEV1:FVC Ratio, respiratory rate, and vital capacity, among others. It's instrumental for healthcare professionals to make informed decisions based on respiratory and pulmonary data visualizations, including:

  • FEV1:FVC Ratio
  • Vital Capacity
  • Respiratory Rate
  • Spirometry Manoeuvres
  • Flow Loops
  • Heart Rate Variability (HRV) Charts
  • Poincaré Plots for Heartbeat Variability

Technical Contributions

The back end of RxCloud was engineered with a cloud-based data processing pipeline for handling large datasets with high throughput, reflecting my focus on creating a scalable and efficient platform. The use of technologies like Node.js, React, Python, and AWS has established a robust and flexible architecture.

Technology Stack

  • Node.js
  • React
  • Next.js
  • JavaScript
  • HTML/CSS
  • Python
  • Tailwind CSS
  • Firebase
  • Flask
  • AWS

Visual Preview

Visual previews and interactive demos of the RxCloud dashboard will be available soon.